Skip to main content

Outcome-Based Branch and Bound Algorithm for Optimization over the Efficient Set and Its Application

  • Conference paper
  • First Online:
Some Current Advanced Researches on Information and Computer Science in Vietnam (NAFOSTED 2014)

Abstract

The problem of optimizing a real function over the efficient set of a multiple objective programming problem arises in a variety of applications. Because of its interesting mathematical aspects as well as its wide range of applications, this problem has attracted the attention of many authors. In this article, we propose a branch and bound algorithm in outcome space for minimizing a function \(h(x)=\varphi (f(x))\) over the efficient set \(X_{E}\) of the bi-criteria convex programming problem \(\mathrm{{Vmin}}\{f(x)=(f_{1}(x),f_{2}(x))^{T}|x\in X\}\), where the function \(\varphi \) is a quasi-concave function defined on \(f(X)\). The convergence of the algorithm is established. Preliminary computational results are reported.

This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number “101.01-2013.19”.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. An, L.T.H., Tao, P.D., Muu, L.D.: Numerical solution for optimization over the efficient set by d.c. optimization algorithm. Oper. Res. Lett. 19, 117–128 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  2. An, L.T.H., Tao, P.D., Thoai, N.V.: Combination between global and local methods for solving an optimization problem over the efficient set. Eur. J. Oper. Res. 142, 258–270 (2002)

    Article  MATH  Google Scholar 

  3. An, L.T.H., Tao, P.D., Muu, L.D.: Simplicially-constrained DC optimization over efficient and weakly efficient sets. J. Optim. Theory Appl. 117, 503–531 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  4. Benson, H.P., Lee, D.: Outcome-based algorithm for optimizing over the efficient set of a bicriteria linear programming problem. J. Optim. Theory Appl. 88, 77–105 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  5. Benson, H.P.: An outcome space branch and bound-outer approximation algorithm for convex multiplicative programming. J. Global Optim. 15, 315–342 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  6. Benson, H.P., Boger, G.M.: Outcome-space cutting-plane algorithm for linear multiplicative programming. J. Optim. Theory Appl. 104, 301–322 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  7. Benson, H.P.: An outcome space algorithm for optimization over the weakly efficient set of a multiple objective nonlinear programming problem. J. Global Optim. 52, 553–574 (2012)

    Article  MATH  MathSciNet  Google Scholar 

  8. Dauer, J.P., Fosnaugh, T.A.: Optimization over the efficient set. J. Global Optim. 7, 261–277 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  9. Fulop, J., Muu, L.D.: Branch-and-bound variant of an outcome-based algorithm for optimizing over the efficient set of a bicriteria linear programming problem. J. Optim. Theory Appl. 105, 37–54 (2000)

    Article  MathSciNet  Google Scholar 

  10. Horst, R., Thoai, N.V., Yamamoto, Y., Zenke, D.: On optimization over the efficient set in linear multicriteria programming. J. Optim. Theory Appl. 134, 433–443 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  11. Jaumard, B., Meyer, C., Tuy, H.: Generalized convex multiplicative programming via quasiconcave minimization. J. Global Optim. 10, 229–256 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  12. Kim, N.T.B.: An algorithm for optimizing over the efficient set. Vietnam J. Math. 28, 329–340 (2000)

    MATH  MathSciNet  Google Scholar 

  13. Kim, N.T.B., Nam, N.C., Thuy, L.Q.: An outcome space algorithm for minimizing the product of two convex functions over a convex set. J. Ind. Manag. Optim. 9, 243–253 (2013)

    Article  MATH  MathSciNet  Google Scholar 

  14. Kim, N.T.B., Muu, L.D.: On the projection of the efficient set and potential application. Optimization 51, 401–421 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  15. Kim, N.T.B., Thang, T.N.: Optimization over the efficient set of a bicriteria convex programming problem. Pac. J. Optim. 9, 103–115 (2013)

    MATH  MathSciNet  Google Scholar 

  16. Kuno, T., Yajima, Y., Konno, H.: An outer approximation method for minimizing the product of several convex functions on a convex set. J. Global Optim. 3, 325–335 (1993)

    Article  MATH  MathSciNet  Google Scholar 

  17. Luc, D.T.: Theory of Vector Optimization. Springer, Berlin (1989)

    Book  Google Scholar 

  18. Luc, L.T., Muu, L.D.: Global optimization approach to optimization over the efficient set. Lecture Notes in Economics and Mathematical Systems, pp. 213–221. Springer, Berlin (1997)

    Google Scholar 

  19. Matsui, T.: NP-hardness of linear multiplicative programming and related problems. J. Global Optim. 9, 113–119 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  20. Muu, L.D., Tam, B.T.: Minimizing the sum of a convex function and the product of two affine functions over a convex set. Optimization 24, 57–62 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  21. Muu, L.D.: A convex-concave programming method for optimizing over the efficient set. Acta Math. Vietnam 25, 67–85 (2000)

    MATH  MathSciNet  Google Scholar 

  22. Oliveira, R.M., Ferreira, P.A.V.: A convex analysis approach for convex multiplicative programming. J. Global Optim. 41, 579–592 (2008)

    Google Scholar 

  23. Philip, J.: Algorithms for the vector maximization problem. Math. Program. 2, 207–229 (1972)

    Article  MATH  MathSciNet  Google Scholar 

  24. Phu, H.X.: On efficient sets in \({\mathbb{R}}^2\). Vietnam J. Math. 33, 463–468 (2005)

    MATH  MathSciNet  Google Scholar 

  25. Shao, L., Ehrgott, M.: An approximation algorithm for convex multiplicative programming problems. In: 2011 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making, pp. 175–181 (2011)

    Google Scholar 

  26. Thoai, N.V.: A class of optimization problems over the efficient set of a multiple criteria nonlinear programming problem. Eur. J. Oper. Res. 122, 58–68 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  27. Thoai, N.V.: Decomposition branch and bound algorithm for optimization problems over efficient set. J. Ind. Manag. Optim. 4, 647–660 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  28. Thoai, N.V.: Reverse convex programming approach in the space of extreme criteria for optimization over efficient sets. J. Optim. Theory Appl. 147, 263–277 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  29. Tuy, H., Nghia, N.D.: Reverse polyblock approximation for generalized multiplicative/fractional programming. Vietnam J. Math. 31(4), 391–402 (2003)

    MATH  MathSciNet  Google Scholar 

  30. Yamamoto, Y.: Optimization over the efficient set: overview. J. Global Optim. 22, 285–317 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  31. Yu, P.L.: Multiple-Criteria Decision Making. Plenum Press, New York (1985)

    Book  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tran Ngoc Thang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Thang, T.N. (2015). Outcome-Based Branch and Bound Algorithm for Optimization over the Efficient Set and Its Application. In: Dang, Q., Nguyen, X., Le, H., Nguyen, V., Bao, V. (eds) Some Current Advanced Researches on Information and Computer Science in Vietnam. NAFOSTED 2014. Advances in Intelligent Systems and Computing, vol 341. Springer, Cham. https://doi.org/10.1007/978-3-319-14633-1_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-14633-1_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14632-4

  • Online ISBN: 978-3-319-14633-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics